This book offers a comprehensive exploration of Content-Based Image Retrieval (CBIR), a technique that overcomes the limitations of traditional text-based search by leveraging intrinsic visual features such as color, texture, and shape. It highlights the evolution of CBIR, its core methodologies, and practical applications across diverse fields like healthcare, education, commerce, and crime prevention. The book delves into advanced technologies such as feature extraction, relevance feedback, and machine learning models, focusing on how they improve retrieval accuracy and efficiency. Additionally, it addresses significant challenges, including computational complexity, scalability, and ethical issues in implementing CBIR systems. Looking forward, the book explores future innovations in CBIR, such as personalized retrieval, multimodal search, and its integration with emerging technologies like augmented reality. It serves as an essential resource for researchers, practitioners, and innovators, emphasizing CBIR’s transformative potential in a world increasingly driven by image and multimedia data.
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Dr. Mohd. Aquib Ansari, Assistant Professor, SCSET, Bennett University, Greater Noida, IndiaDr. Arvind Mewada, Assistant Professor, SCSET, Bennett University, Greater Noida, IndiaMs. Rahat Naz, Assistant Professor, CSED, IILM University, Greater Noida, IndiaDr. Mayank Kumar Rusia, HoD(CSE), Shahodra Rai Government Polytechnic College, Sagar, India.
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Taschenbuch. Zustand: Neu. Pixels of Discovery | The Science of Image Retrieval | Mohd. Aquib Ansari (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786208426453 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Artikel-Nr. 131791445
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